https://github.com/mcg-nju/memotr

[ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
https://github.com/mcg-nju/memotr

Keywords

computer-vision deep-learning multi-object-tracking tracking

Last synced: 11 months ago
JSON representation

Acceptance Criteria

Repository metadata

[ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: over 1 year ago

Total Commits: 73
Total Committers: 3
Avg Commits per committer: 24.333
Development Distribution Score (DDS): 0.041

Commits in past year: 73
Committers in past year: 3
Avg Commits per committer in past year: 24.333
Development Distribution Score (DDS) in past year: 0.041

Name Email Commits
HELLORPG h****7@g****m 70
Ruopeng Gao 4****G 2
Limin Wang l****u@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 17
Total pull requests: 0
Average time to close issues: 12 days
Average time to close pull requests: N/A
Total issue authors: 9
Total pull request authors: 0
Average comments per issue: 4.53
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 17
Past year pull requests: 0
Past year average time to close issues: 12 days
Past year average time to close pull requests: N/A
Past year issue authors: 9
Past year pull request authors: 0
Past year average comments per issue: 4.53
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/mcg-nju/memotr

Top Issue Authors

  • BelieveF (4)
  • BruceYu-Bit (2)
  • etema19 (2)
  • fish0426 (2)
  • Guzaiwang (2)
  • yyyzjing (2)
  • danial880 (1)
  • sawhney-medha (1)
  • Tobelakers (1)

Top Pull Request Authors


Top Issue Labels

  • environment (4)
  • question (3)

Top Pull Request Labels


Dependencies

TrackEval/minimum_requirements.txt pypi
  • numpy ==1.18.1
  • scipy ==1.4.1
TrackEval/requirements.txt pypi
  • Pillow ==8.1.2
  • matplotlib ==3.2.1
  • numpy ==1.18.1
  • opencv_python ==4.4.0.46
  • pycocotools ==2.0.2
  • pytest ==6.0.1
  • scikit_image ==0.16.2
  • scipy ==1.4.1
models/ops/setup.py pypi

Score: 5.958424693029782